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Determination of 14C, 55Fe, 63Ni and gamma emitters in two different types of activated reactor pressure vessel (RPV) steel samples were carried out. The gamma emitters were analysed using HPGe detectors with ISOCS and standard geometry calibrations. Two radioanalytical procedures for the 14C, 55Fe, 63Ni analysis were developed using inactive samples and activated samples were analysed using modified procedures. A Monte Carlo code was used for the modelling of the activation results. The obtained measured and calculated results were comparable.

Nuclear power plants and research facilities commonly employ the so-called scaling factor (SF) method to quantify the activity of difficult-to-measure (DTM) radionuclides within their radioactive waste packages. The method relies on the establishment of a relationship between an easy-to-measure (ETM) radionuclide, called key nuclide (KN), and difficult-to-measure radionuclides, after the collection of a representative sample from the waste population. The distribution of the scaling factors, as well as the parameters defining the distribution, can change over time. Therefore, the accuracy of the calculated activity of the DTM radionuclides depends on the capacity of the scaling factor method to follow the time evolution of the waste population. In practice, waste producers collect periodically new samples from the waste population and check the variation and the validity of the scaling factors. In this article, we present a simple Bayesian framework to update scaling factors when a new data set becomes available. The method is tested and validated for radioactive waste produced at CERN (European Organization for Nuclear Research) and can be easily implemented for waste of different origin.

This thesis introduces a new method to characterize metallic very-low-level radioactive waste produced at the European Organization for Nuclear Research (CERN). The method is based on: 1. the calculation of a preliminary radionuclide inventory, which is the list of the radionuclides that can be produced when particles interact with a surrounding medium, 2. the direct measurement of gamma emitters and, 3. the quantification of pure-alpha, pure-beta and low-energy X-ray emitters, called difficult-to-measure (DTM) radionuclides, using the so-called scaling factor (SF), correlation factor (CF) and mean activity (MA) techniques. The first stage of the characterization process is the calculation of the radionuclide inventory via either analytical or Monte Carlo codes. Once the preliminary radionuclide inventory is obtained, the gamma-emitting radionuclides are measured via gamma-ray spectrometry on each package of the waste population. The major gamma-emitter, called key nuclide (KN), is also identified. The scaling factor method estimates the activity of DTM radionuclides by checking for a consistent and repeated relationship between the key nuclide and the activity of the difficult to measure radionuclides from samples. If a correlation exists the activity of DTM radiodionuclides can be evaluated using the scaling factor otherwise the mean activity from the samples collected is applied to the entire waste population. Finally, the correlation factor is used when the activity of pure-alpha, pure-beta and low-energy X-ray emitters is so low that cannot be quantified using experimental values. In this case a theoretical correlation factor is obtained from the calculations to link the activity of the radionuclides we want to quantify and the activity of the key nuclide. The thesis describes in detail the characterization method, shows a complete case study and describes the industrial-scale application of the characterization method on over 1’000 m3 of radioactive waste, which was carried out at CERN between 2015 and 2017., Ce travail de thèse introduit une nouvelle méthode pour la caractérisation radiologique des déchets très faiblement radioactifs produits au sein de l’Organisation Européenne pour la Recherche Nucléaire (CERN). La méthode se base sur : 1. le calcul des radionucléides en présence, i.e. les radionucléides qui peuvent être produits lors de l’interaction des particules avec la matière et les structures environnantes les accélérateurs, 2. la mesure directe des émetteurs gamma et, 3. la quantification des émetteurs alpha et beta purs et de rayons X de faible énergie, appelés radionucléides difficile-a-mesurer (DTM), en utilisant les méthodes dites des «scaling factor» (SF), «correlation factor» (CF) et activité moyenne (MA). La première phase du processus de caractérisation est le calcul des radionucléides en présence à l’aide de codes de calcul analytiques ou Monte Carlo. Après le calcul de l’inventaire radiologique, les radionucléides émetteurs gamma sont mesurés par spectrométrie gamma dans chaque colis de la population. L’émetteur gamma dominant, appelé « key nuclide » (KN), est identifié. La méthode dite des «scaling factors» permet d’estimer l’activité des radionucléides DTM après évaluation de la corrélation entre l’activité des DTM et l’activité de l’émetteur gamma dominant obtenue à partir d’échantillons. Si une corrélation existe, l’activité des radionucléides DTM peut être évaluée grâce à des facteurs de corrélation expérimentaux appelés « scaling factors », sinon l’activité moyenne obtenue à partir d’échantillons prélevés dans la population est attribuée à chaque colis. Lorsque les activités des émetteurs alpha et beta purs et des émetteurs X de faible énergie ne peuvent pas être estimées par mesure la méthode des « correlation factors » s’applique. La méthode des « correlation factors » se base sur le calcul de corrélations théoriques entre l’émetteur gamma dominant et les radionucléides de très faible activité. Cette thèse décrit en détail la nouvelle technique de caractérisation radiologique, montre un cas d’application complet et présente les résultats de l’industrialisation de la méthode ayant permis la caractérisation radiologique de plus de 1000 m3 de déchets radioactifs au CERN entre 2015 et 2017.

International audience; Radioactive waste is produced as a consequence of preventive and corrective maintenance during the operation of high-energy particle accelerators or associated dismantling campaigns. Their radiological characterization must be performed to ensure an appropriate disposal in the disposal facilities. The radiological characterization of waste includes the establishment of the list of produced radionuclides, called “radionuclide inventory”, and the estimation of their activity. The present paper describes the process adopted at CERN to characterize very-low-level radioactive waste with a focus on activated metals. The characterization method consists of measuring and estimating the activity of produced radionuclides either by experimental methods or statistical and numerical approaches. We adapted the so-called Scaling Factor (SF) and Correlation Factor (CF) techniques to the needs of hadron accelerators, and applied them to very-low-level metallic waste produced at CERN. For each type of metal we calculated the radionuclide inventory and identified the radionuclides that most contribute to hazard factors. The methodology proposed is of general validity, can be extended to other activated materials and can be used for the characterization of waste produced in particle accelerators and research centres, where the activation mechanisms are comparable to the ones occurring at CERN.

The aim of the work was to develop a model of formation of radioactive waste streams in the Ignalina NPP technological media and methodology for assessment of the radionuclide composition. In the dissertation, formation of radioactive waste streams in the Ignalina Nuclear Power Plant is analyzed, possibilities of direct and indirect radioactive waste characterization methods are assessed and nuclide composition of the main Ignalina NPP radioactive waste streams is established. The methodology for compilation of the list of safety-relevant radionuclides is proposed, the sequence of radionuclide composition variation, encompassing technological processes from radioactive waste generation to disposal, is investigated and indirect methodology of estimation of difficult-to-measure nuclides for the nuclear power plant with the RBMK type reactor is proposed and implemented. In the work, a complex of computer modelling, radiochemical analysis and nuclear spectroscopy methods was applied. Suitability of the nuclide vector method for characterization of the RBMK radioactive waste was substantiated by experimental results, and recommendations on application of scaling factors for characterization of different radioactive waste streams are given. Dependence of difficult-to-measure radionuclide scaling factors on the radioactive waste stream was analyzed.